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Koch A, Stirnberg R, Estrada S, Zeng W, Lohner V, Shahid M, Ehses P, Pracht ED, Reuter M, Stöcker T, Breteler MMB. Versatile MRI acquisition and processing protocol for population-based neuroimaging. Nat Protoc 2025; 20:1223-1245. [PMID: 39672917 DOI: 10.1038/s41596-024-01085-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 10/04/2024] [Indexed: 12/15/2024]
Abstract
Neuroimaging has an essential role in studies of brain health and of cerebrovascular and neurodegenerative diseases, requiring the availability of versatile magnetic resonance imaging (MRI) acquisition and processing protocols. We designed and developed a multipurpose high-resolution MRI protocol for large-scale and long-term population neuroimaging studies that includes structural, diffusion-weighted and functional MRI modalities. This modular protocol takes almost 1 h of scan time and is, apart from a concluding abdominal scan, entirely dedicated to the brain. The protocol links the acquisition of an extensive set of MRI contrasts directly to the corresponding fully automated data processing pipelines and to the required quality assurance of the MRI data and of the image-derived phenotypes. Since its successful implementation in the population-based Rhineland Study (ongoing, currently more than 11,000 participants, target participant number of 20,000), the proposed MRI protocol has proved suitable for epidemiological and clinical cross-sectional and longitudinal studies, including multisite studies. The approach requires expertise in magnetic resonance image acquisition, in computer science for the data management and the execution of processing pipelines, and in brain anatomy for the quality assessment of the MRI data. The protocol takes ~1 h of MRI acquisition and ~20 h of data processing to complete for a single dataset, but parallelization over multiple datasets using high-performance computing resources reduces the processing time. By making the protocol, MRI sequences and pipelines available, we aim to contribute to better comparability, interoperability and reusability of large-scale neuroimaging data.
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Affiliation(s)
- Alexandra Koch
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Rüdiger Stirnberg
- MR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Santiago Estrada
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- AI in Medical Imaging, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Weiyi Zeng
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Valerie Lohner
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Mohammad Shahid
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Philipp Ehses
- MR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Eberhard D Pracht
- MR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Martin Reuter
- AI in Medical Imaging, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
- A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
- Department of Radiology, Harvard Medical School, Boston, MA, USA.
| | - Tony Stöcker
- MR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
- Department for Physics and Astronomy, University of Bonn, Bonn, Germany.
| | - Monique M B Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany.
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Ashmore JP, Prescott SJ, McLean J, Wilson DJ, Charles-Edwards G, Wright P, Grainger D, Barker GJ, Lipton AJ, Watt R, Gopalan D, Radon MR. A framework for developing generic implant safety procedures for scanning patients with medical implants and devices in MRI. Br J Radiol 2025; 98:336-344. [PMID: 39535863 PMCID: PMC11840167 DOI: 10.1093/bjr/tqae232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 08/28/2024] [Accepted: 11/08/2024] [Indexed: 11/16/2024] Open
Abstract
UK guidelines for MR safety recommend that MRI departments refer to the implant manufacturer for advice regarding the MRI safety of scanning patients with an implantable medical device prior to scanning. This process of assuring safety can be time consuming, leading to delays and potential cancellations of a patient's MRI. Furthermore, at times the implant cannot be identified, or the implant manufacturers cannot provide up to date MRI safety information. The purpose of generic implant safety procedures is to define a process for managing patients with certain types of implants where the risk from scanning is low. This process incorporates scope for an evidence-based risk-benefit decision to scan some groups of patients under locally approved conditions, without seeking to identify the exact make and model of the implant and subsequent assurance of MR safety from the implant manufacturer. This publication provides best practice recommendations from a multi-professional working group for the development of these procedures. It is supported by The Institute of Physics and Engineering in Medicine, The Society of Radiographers, The Royal College of Radiologists, The British Institute of Radiology, The British Association of MR Radiographers, The International Society of Magnetic Resonance in Medicine British and Irish Chapter, and the NHS Scotland MRI Physics Group.
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Affiliation(s)
- Jonathan P Ashmore
- Department of Medical Physics and Bioengineering, NHS Highland, Inverness, IV2 3UJ, United Kingdom
| | - Sarah J Prescott
- Radiology Physics Department, University Hospitals of North Midlands NHS Trust, ST4 6QG, United Kingdom
- Representative for Institute of Physics and Engineering in Medicine, York, YO24 1ES, United Kingdom
| | - John McLean
- MRI Physics, Department of Clinical Physics and Bioengineering, NHS Greater Glasgow and Clyde, Langlands Dr, Glasgow, G51 4LB, United Kingdom
- University of Glasgow, Glasgow, G51 4LB, United Kingdom
- Representative of the NHS Scotland MRI Physics Group, Glasgow, G51 4TF, United Kingdom
| | - Daniel J Wilson
- Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, LS9 7TF, United Kingdom
| | - Geoff Charles-Edwards
- Guy's & St Thomas' NHS Foundation Trust, London, SE1 7EH, United Kingdom
- King’s College London, London, WC2R 2LS, United Kingdom
- Royal Marsden NHS Foundation Trust, London, SM2 5PT, United Kingdom
- Institute of Cancer Research, London, SM2 5NG, United Kingdom
| | - Peter Wright
- University Hospitals Plymouth NHS Trust, Plymouth, PL6 8DH, United Kingdom
| | - David Grainger
- Medicines and Healthcare Products Regulatory Agency, London, E14 4PU, United Kingdom
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, SE5 8AB, United Kingdom
- Representative for the British and Irish Chapter of the International Society for Magnetic Resonance in Medicine, Concord, California, 94520, United States
| | | | - Rachel Watt
- Circle Health Group, Albyn Hospital, Aberdeen, AB10 1RW, United Kingdom
- Representative for The British Association of MR Radiographers
| | - Deepa Gopalan
- Imperial College Healthcare NHS Trust, London, W110HS, United Kingdom
- Representative for The Royal College of Radiologists, London, WC2A 3JW, United Kingdom
| | - Mark R Radon
- The Walton Centre NHS Foundation Trust, Liverpool, L9 7LJ, United Kingdom
- Representative of The British institute of Radiology, London, EC1N 6SN, United Kingdom
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Garzone D, Imtiaz MA, Mauschitz MM, Aziz NA, Holz FG, Breteler MMB, Finger RP. Age-Related Macular Degeneration and Its Genetic Risk: A Population-based Study. Curr Eye Res 2025; 50:82-86. [PMID: 39155542 DOI: 10.1080/02713683.2024.2388692] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 07/11/2024] [Accepted: 07/31/2024] [Indexed: 08/20/2024]
Abstract
PURPOSE Specific genetic factors might serve as markers for risk stratification of AMD progression, but their association with key features of AMD has not been fully elucidated. Thus, we investigated the association between overall and pathway-specific genetic risk scores (GRS) and lead loci (ARMS2, CFH) with AMD stages and features of high-risk nonlate AMD, including reticular pseudodrusen (RPD) and large drusen area (LDA). METHODS We performed a cross-sectional analysis of data from the Rhineland Study, a population-based study in Bonn, Germany. We included 4016 individuals aged 50 years and older of European descent. GRS and pathway-specific subscores were constructed based on a large genome-wide association study of AMD. Subscores were generated based on gene-pathways associations (complement, extracellular matrix remodeling (ECM) and lipid metabolism). Associations were assessed using logistic and multinomial regression. RESULTS The mean age of participants was 63.36 years and 1813 (45.1%) were men. The GRS was positive in 48.1% of individuals and increased, but did not fully overlap, across AMD stages. Pathway-specific subscores increased across AMD stages except for the ECM subscore, which only showed a trend for increasing in late AMD. Increasing overall GRS was associated with RPD and LDA (OR [95%CI] for RPD: 1.70 [1.33-2.15], for LDA: 1.64 [1.29-2.07]) among individuals with AMD. Similarly, higher complement and ECM subscores was associated with RPD, while for LDA, only an association with complement subscore was observed. CONCLUSIONS In a population-based setting, we confirmed higher genetic risk to be associated with more severe AMD and identified associations with high-risk features of intermediate AMD. Conjoint analyses suggested that high-risk features and late AMD might be differentially associated with genetic architecture in AMD, such as ECM remodeling. Incorporation of genetic information such as GRSs might improve AMD risk prediction strategies.
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Affiliation(s)
- Davide Garzone
- Department of Ophthalmology, University Hospital Bonn, Bonn, Germany
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Mohammed Aslam Imtiaz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Matthias M Mauschitz
- Department of Ophthalmology, University Hospital Bonn, Bonn, Germany
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - N Ahmad Aziz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Frank G Holz
- Department of Ophthalmology, University Hospital Bonn, Bonn, Germany
| | - Monique M B Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Germany
| | - Robert P Finger
- Department of Ophthalmology, University Hospital Bonn, Bonn, Germany
- Department of Ophthalmology, University Hospital Mannheim, University of Heidelberg, Mannheim, Germany
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Wu KC, Hong S, Cross FL, Sypher I, McLoyd VC, Huntley ED, Hyde LW, Mitchell C, Monk CS. Increasing diversity in neuroimaging research: Participant-driven recommendations from a qualitative study of an under-represented sample. Dev Cogn Neurosci 2024; 70:101474. [PMID: 39541798 DOI: 10.1016/j.dcn.2024.101474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Revised: 10/18/2024] [Accepted: 10/31/2024] [Indexed: 11/16/2024] Open
Abstract
Enhancing the generalizability of neuroimaging studies requires actively engaging participants from under-represented communities. This paper leverages qualitative data to outline participant-driven recommendations for incorporating under-represented populations in neuroimaging protocols. Thirty-one participants, who had participated in neuroimaging research or could be eligible for one as part of an ongoing longitudinal study, engaged in semi-structured one-on-one interviews (84 % under-represented ethnic-racial identities and low-income backgrounds). Through thematic analysis, we identified nine relevant research practices from participants' reports, highlighting aspects of their experience that they appreciated and suggestions for improvement: (1) forming a diverse research team comprising members with whom participants can interact as equals; (2) increasing accessibility to research by providing transportation and flexible scheduling; (3) providing family-oriented spaces; (4) enriching the campus visits to include optional on-campus activities to connect with the University; (5) developing safe strategies to accommodate participants with tattoos during the MRI; (6) incorporating engaging and interactive tasks during neuroimaging sessions; (7) providing small gifts, such as a picture of one's brain, in addition to financial compensation; (8) sharing research findings with the research participants; and (9) fostering long-term bidirectional relationships. The findings may be used to develop best practices for enhancing participant diversity in future neuroimaging studies.
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Affiliation(s)
- Kefan C Wu
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States
| | - Sunghyun Hong
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States; School of Social Work, University of Michigan, Ann Arbor, MI, United States
| | - Fernanda L Cross
- School of Social Work, University of Michigan, Ann Arbor, MI, United States
| | | | - Vonnie C McLoyd
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States
| | - Edward D Huntley
- Survey Research Center, Institute for Social Research, University of Michigan, United States
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States; Survey Research Center, Institute for Social Research, University of Michigan, United States; Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, United States
| | - Colter Mitchell
- Survey Research Center, Institute for Social Research, University of Michigan, United States; Population Studies Center, Institute for Social Research, University of Michigan, United States
| | - Christopher S Monk
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States; Survey Research Center, Institute for Social Research, University of Michigan, United States; Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, United States; Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
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5
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Le Grand Q, Tsuchida A, Koch A, Imtiaz MA, Aziz NA, Vigneron C, Zago L, Lathrop M, Dubrac A, Couffinhal T, Crivello F, Matthews PM, Mishra A, Breteler MMB, Tzourio C, Debette S. Diffusion imaging genomics provides novel insight into early mechanisms of cerebral small vessel disease. Mol Psychiatry 2024; 29:3567-3579. [PMID: 38811690 PMCID: PMC11541005 DOI: 10.1038/s41380-024-02604-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 05/06/2024] [Accepted: 05/09/2024] [Indexed: 05/31/2024]
Abstract
Cerebral small vessel disease (cSVD) is a leading cause of stroke and dementia. Genetic risk loci for white matter hyperintensities (WMH), the most common MRI-marker of cSVD in older age, were recently shown to be significantly associated with white matter (WM) microstructure on diffusion tensor imaging (signal-based) in young adults. To provide new insights into these early changes in WM microstructure and their relation with cSVD, we sought to explore the genetic underpinnings of cutting-edge tissue-based diffusion imaging markers across the adult lifespan. We conducted a genome-wide association study of neurite orientation dispersion and density imaging (NODDI) markers in young adults (i-Share study: N = 1 758, (mean[range]) 22.1[18-35] years), with follow-up in young middle-aged (Rhineland Study: N = 714, 35.2[30-40] years) and late middle-aged to older individuals (UK Biobank: N = 33 224, 64.3[45-82] years). We identified 21 loci associated with NODDI markers across brain regions in young adults. The most robust association, replicated in both follow-up cohorts, was with Neurite Density Index (NDI) at chr5q14.3, a known WMH locus in VCAN. Two additional loci were replicated in UK Biobank, at chr17q21.2 with NDI, and chr19q13.12 with Orientation Dispersion Index (ODI). Transcriptome-wide association studies showed associations of STAT3 expression in arterial and adipose tissue (chr17q21.2) with NDI, and of several genes at chr19q13.12 with ODI. Genetic susceptibility to larger WMH volume, but not to vascular risk factors, was significantly associated with decreased NDI in young adults, especially in regions known to harbor WMH in older age. Individually, seven of 25 known WMH risk loci were associated with NDI in young adults. In conclusion, we identified multiple novel genetic risk loci associated with NODDI markers, particularly NDI, in early adulthood. These point to possible early-life mechanisms underlying cSVD and to processes involving remyelination, neurodevelopment and neurodegeneration, with a potential for novel approaches to prevention.
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Affiliation(s)
- Quentin Le Grand
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Ami Tsuchida
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
| | - Alexandra Koch
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Mohammed-Aslam Imtiaz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - N Ahmad Aziz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Chloé Vigneron
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
| | - Laure Zago
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
| | - Mark Lathrop
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montreal, QC, H3A 0G1, Canada
| | - Alexandre Dubrac
- Centre de Recherche, CHU Sainte-Justine, Montréal, QC, Canada
- Département de Pathologie et Biologie Cellulaire, Université de Montréal, Montréal, QC, Canada
- Département d'Ophtalmologie, Université de Montréal, Montréal, QC, Canada
| | - Thierry Couffinhal
- University of Bordeaux, INSERM, Biologie des maladies cardiovasculaires, U1034, F-33600, Pessac, France
| | - Fabrice Crivello
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
| | - Paul M Matthews
- UK Dementia Research Institute and Department of Brain Sciences, Imperial College, London, UK
| | - Aniket Mishra
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
| | - Monique M B Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Christophe Tzourio
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
- Bordeaux University Hospital, Department of Medical Informatics, F-33000, Bordeaux, France
| | - Stéphanie Debette
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France.
- Bordeaux University Hospital, Department of Neurology, Institute for Neurodegenerative Diseases, F-33000, Bordeaux, France.
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Melas K, Talevi V, Imtiaz MA, Etteldorf R, Estrada S, Krüger DM, Pena‐Centeno T, Aziz NA, Fischer A, Breteler MMB. Blood-derived microRNAs are related to cognitive domains in the general population. Alzheimers Dement 2024; 20:7138-7159. [PMID: 39210637 PMCID: PMC11485070 DOI: 10.1002/alz.14197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 07/02/2024] [Accepted: 07/26/2024] [Indexed: 09/04/2024]
Abstract
INTRODUCTION Blood-derived microRNAs (miRNAs) are potential candidates for detecting and preventing subclinical cognitive dysfunction. However, replication of previous findings and identification of novel miRNAs associated with cognitive domains, including their relation to brain structure and the pathways they regulate, are still lacking. METHODS We examined blood-derived miRNAs and miRNA co-expression clusters in relation to cognitive domains, structural magnetic resonance imaging measures, target gene expression, and genetic variants in 2869 participants of a population-based cohort. RESULTS Five previously identified and 14 novel miRNAs were associated with cognitive domains. Eleven of these were also associated with cortical thickness and two with hippocampal volume. Multi-omics analysis showed that certain identified miRNAs were genetically influenced and regulated genes in pathways like neurogenesis and synapse assembly. DISCUSSION We identified miRNAs associated with cognitive domains, brain regions, and neuronal processes affected by aging and neurodegeneration, making them promising candidate blood-based biomarkers or therapeutic targets of subclinical cognitive dysfunction. HIGHLIGHTS We investigated the association of blood-derived microRNAs with cognitive domains. Five previously identified and 14 novel microRNAs were associated with cognition. Eleven cognition-related microRNAs were also associated with cortical thickness. Identified microRNAs were linked to genes associated with neuronal functions. Results provide putative biomarkers or therapeutic targets of cognitive aging.
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Affiliation(s)
- Konstantinos Melas
- Population Health SciencesGerman Centre for Neurodegenerative Diseases (DZNE)BonnGermany
| | - Valentina Talevi
- Population Health SciencesGerman Centre for Neurodegenerative Diseases (DZNE)BonnGermany
| | - Mohammed Aslam Imtiaz
- Population Health SciencesGerman Centre for Neurodegenerative Diseases (DZNE)BonnGermany
| | - Rika Etteldorf
- Population Health SciencesGerman Centre for Neurodegenerative Diseases (DZNE)BonnGermany
| | - Santiago Estrada
- Population Health SciencesGerman Centre for Neurodegenerative Diseases (DZNE)BonnGermany
- AI in Medical ImagingGerman Centre for Neurodegenerative Diseases (DZNE)BonnGermany
| | - Dennis M. Krüger
- Department for Epigenetics and Systems Medicine in Neurodegenerative DiseasesGerman Center for Neurodegenerative Diseases (DZNE)GöttingenGermany
| | - Tonatiuh Pena‐Centeno
- Department for Epigenetics and Systems Medicine in Neurodegenerative DiseasesGerman Center for Neurodegenerative Diseases (DZNE)GöttingenGermany
- Bioinformatics UnitGerman Centre for Neurodegenerative Diseases (DZNE)GöttingenGermany
| | - N. Ahmad Aziz
- Population Health SciencesGerman Centre for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of NeurologyFaculty of MedicineUniversity of BonnBonnGermany
| | - André Fischer
- Department for Epigenetics and Systems Medicine in Neurodegenerative DiseasesGerman Center for Neurodegenerative Diseases (DZNE)GöttingenGermany
- Department for Psychiatry and PsychotherapyUniversity Medical Center GöttingenGöttingenGermany
- Cluster of Excellence MBExCUniversity of Göttingen & University Medical Center GoettingenGöttingenGermany
| | - Monique M. B. Breteler
- Population Health SciencesGerman Centre for Neurodegenerative Diseases (DZNE)BonnGermany
- Institute for Medical BiometryInformatics and Epidemiology (IMBIE)Faculty of MedicineUniversity of BonnBonnGermany
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Baker C, Nugent B, Grainger D, Hewis J, Malamateniou C. Systematic review of MRI safety literature in relation to radiofrequency thermal injury prevention. J Med Radiat Sci 2024; 71:445-460. [PMID: 38937923 PMCID: PMC11569411 DOI: 10.1002/jmrs.800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 05/17/2024] [Indexed: 06/29/2024] Open
Abstract
INTRODUCTION Magnetic resonance imaging (MRI) is a rapidly evolving modality, generally considered safe due to lack of ionising radiation. While MRI technology and techniques are improving, many of the safety concerns remain the same as when first established. Patient thermal injuries are the most frequently reported adverse event, accounting for 59% of MRI incidents to the Food and Drug Administration (FDA). Surveys indicate many incidents remain unreported. Patient thermal injuries are preventable and various methods for their mitigation have been published. However, recommendations can be variable, fragmented and confusing. The aim of this systematic review was to synthesise the evidence on MRI safety and associated skin injuries and offer comprehensive recommendations for radiographers to prevent skin thermal injuries. METHODS Four journal databases were searched for sources published January 2010-May 2023, presenting information on MRI safety and thermal injuries. RESULTS Of 26,801 articles returned, after careful screening and based on the eligibility criteria, only 79 articles and an additional 19 grey literature sources were included (n = 98). Included studies were examined using thematic analysis to determine if holistic recommendations can be provided to assist in preventing skin burns. This resulted in three simplified recommendations: Remove any electrically conductive items Insulate the patient to prevent any conductive loops or contact with objects Communicate regularly CONCLUSION: By implementing the above recommendations, it is estimated that 97% of skin burns could be prevented. With thermal injuries continuing to impact MRI safety, strategies to prevent skin burns and heating are essential. Assessing individual risks, rather than blanket policies, will help prevent skin thermal injuries occurring, improving patient care.
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Affiliation(s)
- Cassandra Baker
- Qscan RadiologyBrisbaneQueenslandAustralia
- Division of Midwifery and Radiography, Department of RadiographyCity University of London School of Health & Psychological SciencesLondonUK
| | - Barbara Nugent
- Division of Midwifery and Radiography, Department of RadiographyCity University of London School of Health & Psychological SciencesLondonUK
- MRI Safety MattersEdinburghUK
| | - David Grainger
- Medicines and Healthcare Products Regulatory AgencyLondonUK
| | - Johnathan Hewis
- School of Dentistry and Medical SciencesCharles Sturt UniversityPort MacquarieNew South WalesAustralia
| | - Christina Malamateniou
- Division of Midwifery and Radiography, Department of RadiographyCity University of London School of Health & Psychological SciencesLondonUK
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Alsing KK, Johannesen HH, Mårtensson NL, Kempen PJ, Lin MKTH, Qvortrup K, Hansen RH. Unveiling the Temporal Aspect of MRI Tattoo Reactions: A Prospective Evaluation of a Newly-Acquired Tattoo with Multiple MRI Scans. AMERICAN JOURNAL OF CASE REPORTS 2024; 25:e943411. [PMID: 38648203 PMCID: PMC11056212 DOI: 10.12659/ajcr.943411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/13/2024] [Accepted: 03/06/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Over the past 30 years, painful reactions during magnetic resonance imaging (MRI) in tattooed individuals have been sporadically reported. These complications manifest as burning pain in tattooed skin areas, occasionally with swelling and redness, often leading to termination of the scanning. The exact cause is unclear, but iron oxide pigments in permanent make-up or elements in carbon black tattoos may play a role. Additionally, factors like tattoo age, design, and color may influence reactions. The existing literature lacks comprehensive evidence, leaving many questions unanswered. CASE REPORT We present the unique case of a young man who experienced recurring painful reactions in a recently applied black tattoo during multiple MRI scans. Despite the absence of ferrimagnetic ingredients in the tattoo ink, the patient reported intense burning sensations along with transient erythema and edema. Interestingly, the severity of these reactions gradually decreased over time, suggesting a time-dependent factor contributing to the problem. This finding highlights the potential influence of pigment particle density in the skin on the severity and risk of MRI interactions. We hypothesize that the painful sensations could be triggered by excitation of dermal C-fibers by conductive elements in the tattoo ink, likely carbon particles. CONCLUSIONS Our case study highlights that MRI-induced tattoo reactions may gradually decrease over time. While MRI scans occasionally can cause transient reactions in tattoos, they do not result in permanent skin damage and remain a safe and essential diagnostic tool. Further research is needed to understand the mechanisms behind these reactions and explore preventive measures.
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Affiliation(s)
- Kasper Køhler Alsing
- Department of Dermatology & Copenhagen Wound Healing Center, Copenhagen University Hospital – Bispebjerg, Copenhagen, Denmark
| | - Helle Hjorth Johannesen
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
| | - Nina Løth Mårtensson
- Department of Pathology, Diagnostic Center, Copenhagen University Hospital– Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Paul Joseph Kempen
- National Centre for Nano Fabrication and Characterization, Technical University of Denmark, Lyngby, Denmark
| | - Marie Karen Tracy Hong Lin
- National Centre for Nano Fabrication and Characterization, Technical University of Denmark, Lyngby, Denmark
| | - Klaus Qvortrup
- Core Facility for Integrated Microscopy (CFIM), Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Hvass Hansen
- Section for Radiation Therapy, Department of Oncology, Center for Cancer and Organ Diseases, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
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9
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Tsuchida A, Boutinaud P, Verrecchia V, Tzourio C, Debette S, Joliot M. Early detection of white matter hyperintensities using SHIVA-WMH detector. Hum Brain Mapp 2024; 45:e26548. [PMID: 38050769 PMCID: PMC10789222 DOI: 10.1002/hbm.26548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 10/06/2023] [Accepted: 11/16/2023] [Indexed: 12/06/2023] Open
Abstract
White matter hyperintensities (WMHs) are well-established markers of cerebral small vessel disease, and are associated with an increased risk of stroke, dementia, and mortality. Although their prevalence increases with age, small and punctate WMHs have been reported with surprisingly high frequency even in young, neurologically asymptomatic adults. However, most automated methods to segment WMH published to date are not optimized for detecting small and sparse WMH. Here we present the SHIVA-WMH tool, a deep-learning (DL)-based automatic WMH segmentation tool that has been trained with manual segmentations of WMH in a wide range of WMH severity. We show that it is able to detect WMH with high efficiency in subjects with only small punctate WMH as well as in subjects with large WMHs (i.e., with confluency) in evaluation datasets from three distinct databases: magnetic resonance imaging-Share consisting of young university students, MICCAI 2017 WMH challenge dataset consisting of older patients from memory clinics, and UK Biobank with community-dwelling middle-aged and older adults. Across these three cohorts with a wide-ranging WMH load, our tool achieved voxel-level and individual lesion cluster-level Dice scores of 0.66 and 0.71, respectively, which were higher than for three reference tools tested: the lesion prediction algorithm implemented in the lesion segmentation toolbox (LPA: Schmidt), PGS tool, a DL-based algorithm and the current winner of the MICCAI 2017 WMH challenge (Park et al.), and HyperMapper tool (Mojiri Forooshani et al.), another DL-based method with high reported performance in subjects with mild WMH burden. Our tool is publicly and openly available to the research community to facilitate investigations of WMH across a wide range of severity in other cohorts, and to contribute to our understanding of the emergence and progression of WMH.
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Affiliation(s)
- Ami Tsuchida
- GIN, IMN‐UMR5293Université de Bordeaux, CEA, CNRSBordeauxFrance
- BPH‐U1219, INSERMUniversité de BordeauxBordeauxFrance
| | | | - Violaine Verrecchia
- GIN, IMN‐UMR5293Université de Bordeaux, CEA, CNRSBordeauxFrance
- BPH‐U1219, INSERMUniversité de BordeauxBordeauxFrance
| | | | | | - Marc Joliot
- GIN, IMN‐UMR5293Université de Bordeaux, CEA, CNRSBordeauxFrance
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10
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Wright R. Clinical Issues - October 2023. AORN J 2023; 118:267-272. [PMID: 37750801 DOI: 10.1002/aorn.14008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 06/01/2023] [Indexed: 09/27/2023]
Abstract
Pregnant personnel in the magnetic resonance environment Key words: magnetic resonance (MR), pregnant personnel, zone IV, exposure, scanner. Patients with tattoos in the magnetic resonance environment Key words: tattoo ink, permanent cosmetic tattoo, magnetic resonance (MR), scanning, burns. Robotic procedure emergency preparedness Key words: emergency readiness, conversion to open, robotic surgery, checklists, undocking. Communication during robotic procedures Key words: communication, teamwork, robotic procedures, familiarity, perioperative team.
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